{"pageNumber":"632","pageRowStart":"15775","pageSize":"25","recordCount":184733,"records":[{"id":70209510,"text":"ofr20201027 - 2020 - Some approaches to accounting for incidental carcass discoveries in non-monitored years using the Evidence of Absence model","interactions":[],"lastModifiedDate":"2020-04-17T15:57:41.04636","indexId":"ofr20201027","displayToPublicDate":"2020-04-13T10:04:52","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-1027","displayTitle":"Some Approaches to Accounting for Incidental Carcass Discoveries in Non-Monitored Years using the Evidence of Absence Model","title":"Some approaches to accounting for incidental carcass discoveries in non-monitored years using the Evidence of Absence model","docAbstract":"

Executive Summary

We evaluate three approaches to accounting for incidental carcasses when estimating an upper bound on total mortality (\uD835\uDC40) as \uD835\uDC40∗ using the Evidence of Absence model (EoA; Dalthorp and others, 2017) to assess compliance with an Incidental Take Permit (ITP) (Dalthorp & Huso, 2015) under a monitoring protocol that includes formal, dedicated carcass surveys that achieve an overall detection probability of \uD835\uDC54\uD835\uDC60=0.15 in the first year, followed by 4 years with no formal monitoring but with carcasses potentially discovered incidentally by operations and maintenance crews in their normal course of activity or otherwise discovered outside the formal searches. We refer to carcasses discovered incidentally as “incidentals” and define \uD835\uDC65\uD835\uDC56 as the count of incidentals. Similarly, we define \uD835\uDC65\uD835\uDC60 as the number of carcasses found during the formal searches conducted the first year.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201027","usgsCitation":"Dalthorp, Daniel, Rabie, Paul, Huso, Manuela, and Tredennick, Andrew, 2020, Some approaches to accounting for incidental carcass discoveries in non-monitored years using the Evidence of Absence model: U.S. Geological Survey Open-File Report 2020-1027, 24 p., https://doi.org/10.3133/ofr20201027.","productDescription":"iv, 22 p.","onlineOnly":"Y","ipdsId":"IP-114583","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":373890,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1027/ofr20201027.pdf","text":"Report","size":"2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020-1027"},{"id":373889,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1027/coverthb.jpg"}],"contact":"

Director, Western Fisheries Research Center
U.S. Geological Survey
6505 NE 65th Street
Seattle, Washington 98115-5016

","tableOfContents":"","publishedDate":"2020-04-13","noUsgsAuthors":false,"publicationDate":"2020-04-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Dalthorp, Daniel 0000-0002-4815-6309 ddalthorp@usgs.gov","orcid":"https://orcid.org/0000-0002-4815-6309","contributorId":4902,"corporation":false,"usgs":true,"family":"Dalthorp","given":"Daniel","email":"ddalthorp@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":786721,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rabie, Paul","contributorId":117423,"corporation":false,"usgs":false,"family":"Rabie","given":"Paul","affiliations":[],"preferred":false,"id":786722,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huso, Manuela 0000-0003-4687-6625 mhuso@usgs.gov","orcid":"https://orcid.org/0000-0003-4687-6625","contributorId":223969,"corporation":false,"usgs":true,"family":"Huso","given":"Manuela","email":"mhuso@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":786723,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tredennick, Andrew","contributorId":223964,"corporation":false,"usgs":false,"family":"Tredennick","given":"Andrew","affiliations":[{"id":18962,"text":"Dept. of Wildland Resources and the Ecology Center, Utah State University, Logan, UT","active":true,"usgs":false}],"preferred":false,"id":786724,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70219427,"text":"70219427 - 2020 - Monazite and cassiterite Usingle bondPb dating of the Abu Dabbab rare-metal granite, Egypt: Late Cryogenian metalliferous granite magmatism in the Arabian-Nubian Shield","interactions":[],"lastModifiedDate":"2021-04-05T13:13:10.95373","indexId":"70219427","displayToPublicDate":"2020-04-13T08:11:11","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1848,"text":"Gondwana Research","active":true,"publicationSubtype":{"id":10}},"title":"Monazite and cassiterite Usingle bondPb dating of the Abu Dabbab rare-metal granite, Egypt: Late Cryogenian metalliferous granite magmatism in the Arabian-Nubian Shield","docAbstract":"

The Abu Dabbab rare-metal granite in the Eastern Desert of Egypt is a highly-evolved alkali-feldspar granite with transitional magmatic-hydrothermal features. Extreme geochemical fractionation and the associated significant Ta\"singleSn resource make the Abu Dabbab intrusion an important feature in the metallogenic evolution of the Arabian-Nubian Shield. U\"singlePb dating by laser ablation sector field (SF)-ICPMS analysis of igneous monazite yields a Concordia age of 644.7 ± 2.3 Ma, identical within uncertainty to a lower intercept Tera-Wasserburg isochron age of 644.2 ± 2.3 Ma obtained from hydrothermal cassiterite. Both ages place tight constraints on the timing of magmatic-hydrothermal processes in the Abu Dabbab granite which represents the oldest highly-evolved granite recognized so far in the Pan-African Arabian-Nubian Shield. Thus, the new ages also date the start of a period of late-orogenic metalliferous granite magmatism, when the basement of the Eastern Desert underwent a geodynamic transition from a compressive subduction-collision regime towards orogenic collapse in the late Cryogenian.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.gr.2020.03.001","usgsCitation":"Lehmann, B., Zoheir, B., Neymark, L., Zeh, A., Emam, A., Radwan, A., Zhang, R., and Moscati, R.J., 2020, Monazite and cassiterite Usingle bondPb dating of the Abu Dabbab rare-metal granite, Egypt: Late Cryogenian metalliferous granite magmatism in the Arabian-Nubian Shield: Gondwana Research, v. 84, p. 71-80, https://doi.org/10.1016/j.gr.2020.03.001.","productDescription":"10 p.","startPage":"71","endPage":"80","ipdsId":"IP-116877","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":437025,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9JGODO2","text":"USGS data release","linkHelpText":"U-Pb data for: Monazite and cassiterite U-Pb dating of the Abu Dabbab rare-metal granite, Egypt: Late Cryogenian metalliferous granite magmatism in the Arabian-Nubian Shield"},{"id":384868,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Egypt","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[34.9226,29.50133],[34.64174,29.09942],[34.42655,28.34399],[34.15451,27.8233],[33.92136,27.6487],[33.58811,27.97136],[33.13676,28.41765],[32.42323,29.85108],[32.32046,29.76043],[32.73482,28.70523],[33.34876,27.69989],[34.10455,26.14227],[34.47387,25.59856],[34.79507,25.03375],[35.69241,23.92671],[35.49372,23.75237],[35.52598,23.10244],[36.69069,22.20485],[36.86623,22],[32.9,22],[29.02,22],[25,22],[25,25.6825],[25,29.23865],[24.70007,30.04419],[24.95762,30.6616],[24.80287,31.08929],[25.16482,31.56915],[26.49533,31.58568],[27.45762,31.32126],[28.45048,31.02577],[28.91353,30.87005],[29.68342,31.18686],[30.09503,31.4734],[30.97693,31.55586],[31.68796,31.4296],[31.96041,30.9336],[32.19247,31.26034],[32.99392,31.02407],[33.7734,30.96746],[34.26544,31.21936],[34.9226,29.50133]]]},\"properties\":{\"name\":\"Egypt\"}}]}","volume":"84","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lehmann, Bernd 0000-0003-0762-6543","orcid":"https://orcid.org/0000-0003-0762-6543","contributorId":256943,"corporation":false,"usgs":false,"family":"Lehmann","given":"Bernd","email":"","affiliations":[{"id":51909,"text":"Technical University of Clausthal","active":true,"usgs":false}],"preferred":false,"id":813515,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zoheir, Basem 0000-0003-1792-9134","orcid":"https://orcid.org/0000-0003-1792-9134","contributorId":256944,"corporation":false,"usgs":false,"family":"Zoheir","given":"Basem","email":"","affiliations":[{"id":51910,"text":"Benha University","active":true,"usgs":false}],"preferred":false,"id":813516,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Neymark, Leonid A. 0000-0003-4190-0278 lneymark@usgs.gov","orcid":"https://orcid.org/0000-0003-4190-0278","contributorId":140338,"corporation":false,"usgs":true,"family":"Neymark","given":"Leonid A.","email":"lneymark@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":813517,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zeh, Armin 0000-0001-9476-8501","orcid":"https://orcid.org/0000-0001-9476-8501","contributorId":256945,"corporation":false,"usgs":false,"family":"Zeh","given":"Armin","email":"","affiliations":[{"id":51911,"text":"Karlsruher Institut für Technologie","active":true,"usgs":false}],"preferred":false,"id":813518,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Emam, Ashraf 0000-0002-0352-6855","orcid":"https://orcid.org/0000-0002-0352-6855","contributorId":256946,"corporation":false,"usgs":false,"family":"Emam","given":"Ashraf","email":"","affiliations":[{"id":51912,"text":"Aswan University","active":true,"usgs":false}],"preferred":false,"id":813519,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Radwan, Abdelhady","contributorId":256947,"corporation":false,"usgs":false,"family":"Radwan","given":"Abdelhady","email":"","affiliations":[{"id":51912,"text":"Aswan University","active":true,"usgs":false}],"preferred":false,"id":813520,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zhang, Rongqing 0000-0002-5145-1595","orcid":"https://orcid.org/0000-0002-5145-1595","contributorId":256948,"corporation":false,"usgs":false,"family":"Zhang","given":"Rongqing","email":"","affiliations":[{"id":51913,"text":"Nanjing University","active":true,"usgs":false}],"preferred":false,"id":813521,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Moscati, Richard J. 0000-0002-0818-4401 rmoscati@usgs.gov","orcid":"https://orcid.org/0000-0002-0818-4401","contributorId":2462,"corporation":false,"usgs":true,"family":"Moscati","given":"Richard","email":"rmoscati@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":813522,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70210544,"text":"70210544 - 2020 - Zero or not? Causes and consequences of zero-flow stream gage readings","interactions":[],"lastModifiedDate":"2020-06-09T12:18:02.959693","indexId":"70210544","displayToPublicDate":"2020-04-13T07:14:30","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5067,"text":"WIREs Water","active":true,"publicationSubtype":{"id":10}},"title":"Zero or not? Causes and consequences of zero-flow stream gage readings","docAbstract":"

Streamflow observations can be used to understand, predict, and contextualize hydrologic, ecological, and biogeochemical processes and conditions in streams. Stream gages are point measurements along rivers where streamflow is measured, and are often used to infer upstream watershed‐scale processes. When stream gages read zero, this may indicate that the stream has dried at this location; however, zero‐flow readings can also be caused by a wide range of other factors. Our ability to identify whether or not a zero‐flow gage reading indicates a dry fluvial system has far reaching environmental implications. Incorrect identification and interpretation by the data user can lead to inaccurate hydrologic, ecological, and/or biogeochemical predictions from models and analyses. Here, we describe several causes of zero‐flow gage readings: frozen surface water, flow reversals, instrument error, and natural or human‐driven upstream source losses or bypass flow. For these examples, we discuss the implications of zero‐flow interpretations. We also highlight additional methods for determining flow presence, including direct observations, statistical methods, and hydrologic models, which can be applied to interpret causes of zero‐flow gage readings and implications for reach‐ and watershed‐scale dynamics. Such efforts are necessary to improve our ability to understand and predict surface flow activation, cessation, and connectivity across river networks. Developing this integrated understanding of the wide range of possible meanings of zero‐flows will only attain greater importance in a more variable and changing hydrologic climate.

","language":"English","publisher":"Wiley","doi":"10.1002/wat2.1436","usgsCitation":"Zimmer, M., Kaiser, K.E., Blaszczak, J., Zipper, S., Hammond, J., Fritz, K.M., Costigan, K., Hosen, J.D., Godsey, S., Allen, G.H., Kampf, S.K., Burrow, R., Krabbenhoft, C., Dodds, W., Hale, R., Olden, J., Shanafield, M., DelVecchia, A., Ward, A.S., Mims, M.C., Datry, T., Bogan, M.A., Boersma, K., Busch, M., Jones, N.M., Burgin, A., and Allen, D., 2020, Zero or not? Causes and consequences of zero-flow stream gage readings: WIREs Water, v. 7, no. 3, e1436, 25 p., https://doi.org/10.1002/wat2.1436.","productDescription":"e1436, 25 p.","ipdsId":"IP-112480","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"links":[{"id":457103,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/wat2.1436","text":"External Repository"},{"id":437027,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9R84W5K","text":"USGS data release","linkHelpText":"Contiguous US and Global streamflow gages measuring zero flow"},{"id":437026,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9AB3KL9","text":"USGS data release","linkHelpText":"Sub-annual streamflow responses to rainfall and snowmelt inputs in snow-dominated watersheds of the western 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Margaret","contributorId":196916,"corporation":false,"usgs":false,"family":"Shanafield","given":"Margaret","email":"","affiliations":[],"preferred":false,"id":790596,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"DelVecchia, Amanda 0000-0003-4252-5991","orcid":"https://orcid.org/0000-0003-4252-5991","contributorId":225165,"corporation":false,"usgs":false,"family":"DelVecchia","given":"Amanda","email":"","affiliations":[{"id":41061,"text":"Flathead Lake Biological Station, University of Montana, Polson, MT 59860","active":true,"usgs":false}],"preferred":false,"id":790597,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Ward, Adam S","contributorId":191363,"corporation":false,"usgs":false,"family":"Ward","given":"Adam","email":"","middleInitial":"S","affiliations":[],"preferred":false,"id":790598,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Mims, Meryl C. 0000-0003-0570-988X","orcid":"https://orcid.org/0000-0003-0570-988X","contributorId":209951,"corporation":false,"usgs":false,"family":"Mims","given":"Meryl","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":790599,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Datry, Thibault 0000-0003-1390-6736","orcid":"https://orcid.org/0000-0003-1390-6736","contributorId":225166,"corporation":false,"usgs":false,"family":"Datry","given":"Thibault","email":"","affiliations":[{"id":41062,"text":"Centre de Lyon-Villeurbanne, 69626 Villeurbanne CEDEX, France","active":true,"usgs":false}],"preferred":false,"id":790600,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Bogan, Michael A.","contributorId":196745,"corporation":false,"usgs":false,"family":"Bogan","given":"Michael","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":790601,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Boersma, Kate 0000-0002-0707-3283","orcid":"https://orcid.org/0000-0002-0707-3283","contributorId":225167,"corporation":false,"usgs":false,"family":"Boersma","given":"Kate","email":"","affiliations":[{"id":41063,"text":"Department of Biology, University of San Diego, San Diego, CA 92105, USA","active":true,"usgs":false}],"preferred":false,"id":790602,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Busch, Michelle 0000-0003-4536-3000","orcid":"https://orcid.org/0000-0003-4536-3000","contributorId":225168,"corporation":false,"usgs":false,"family":"Busch","given":"Michelle","email":"","affiliations":[{"id":41064,"text":"Department of Biology, University of Oklahoma, Norman OK, 73019","active":true,"usgs":false}],"preferred":false,"id":790603,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Jones, Nathan M.","contributorId":177996,"corporation":false,"usgs":false,"family":"Jones","given":"Nathan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":790604,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Burgin, Amy","contributorId":140223,"corporation":false,"usgs":false,"family":"Burgin","given":"Amy","email":"","affiliations":[{"id":13420,"text":"Wright State Univ.","active":true,"usgs":false}],"preferred":false,"id":790605,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Allen, Daniel C. 0000-0002-0451-0564","orcid":"https://orcid.org/0000-0002-0451-0564","contributorId":225169,"corporation":false,"usgs":false,"family":"Allen","given":"Daniel","middleInitial":"C.","affiliations":[{"id":41064,"text":"Department of Biology, University of Oklahoma, Norman OK, 73019","active":true,"usgs":false}],"preferred":false,"id":790606,"contributorType":{"id":1,"text":"Authors"},"rank":27}]}} ,{"id":70219495,"text":"70219495 - 2020 - Synthesis of weed-suppressive bacteria studies in rangelands of the Western United States: Special section of articles in Rangeland Ecology and Management provides no evidence of effectiveness","interactions":[],"lastModifiedDate":"2021-04-12T11:43:09.928113","indexId":"70219495","displayToPublicDate":"2020-04-13T06:36:44","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3228,"text":"Rangeland Ecology and Management","onlineIssn":"1551-5028","printIssn":"1550-7424","active":true,"publicationSubtype":{"id":10}},"title":"Synthesis of weed-suppressive bacteria studies in rangelands of the Western United States: Special section of articles in Rangeland Ecology and Management provides no evidence of effectiveness","docAbstract":"

No abstract available. 

","language":"English","publisher":"Elsevier","doi":"10.1016/j.rama.2020.02.007","usgsCitation":"Germino, M., and Lazarus, B.E., 2020, Synthesis of weed-suppressive bacteria studies in rangelands of the Western United States: Special section of articles in Rangeland Ecology and Management provides no evidence of effectiveness: Rangeland Ecology and Management, v. 73, no. 6, p. 737-740, https://doi.org/10.1016/j.rama.2020.02.007.","productDescription":"4 p.","startPage":"737","endPage":"740","ipdsId":"IP-114474","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":457105,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rama.2020.02.007","text":"Publisher Index Page"},{"id":384980,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington, Idaho, Montana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.4541015625,\n 47.90161354142077\n ],\n [\n -120.234375,\n 45.89000815866184\n ],\n [\n -116.89453125,\n 45.9511496866914\n ],\n [\n -117.24609374999999,\n 44.402391829093915\n ],\n [\n -116.93847656250001,\n 41.934976500546604\n ],\n [\n -111.09374999999999,\n 41.934976500546604\n ],\n [\n -111.1376953125,\n 44.49650533109348\n ],\n [\n -113.15917968749999,\n 44.59046718130883\n ],\n [\n -114.0380859375,\n 45.521743896993634\n ],\n [\n -114.5654296875,\n 45.27488643704891\n ],\n [\n -114.3896484375,\n 46.558860303117164\n ],\n [\n -110.8740234375,\n 46.31658418182218\n ],\n [\n -110.9619140625,\n 48.980216985374994\n ],\n [\n -120.10253906249999,\n 49.009050809382046\n ],\n [\n -120.4541015625,\n 47.90161354142077\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"73","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Germino, Matthew J. 0000-0001-6326-7579","orcid":"https://orcid.org/0000-0001-6326-7579","contributorId":251901,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew J.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":813818,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lazarus, Brynne E. 0000-0002-6352-486X blazarus@usgs.gov","orcid":"https://orcid.org/0000-0002-6352-486X","contributorId":4901,"corporation":false,"usgs":true,"family":"Lazarus","given":"Brynne","email":"blazarus@usgs.gov","middleInitial":"E.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":813832,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70209058,"text":"sim3454 - 2020 - Bathymetric survey and sedimentation analysis of Lago Carite, Puerto Rico, January 2018","interactions":[],"lastModifiedDate":"2020-05-01T12:40:28.919954","indexId":"sim3454","displayToPublicDate":"2020-04-13T06:33:03","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3454","displayTitle":"Bathymetric Survey and Sedimentation Analysis of Lago Carite, Puerto Rico, January 2018","title":"Bathymetric survey and sedimentation analysis of Lago Carite, Puerto Rico, January 2018","docAbstract":"

During January 23–30, 2018, the U.S. Geological Survey, in cooperation with the Puerto Rico Electric Power Authority, conducted a bathymetric survey of Lago Carite primarily to update estimates of the contemporary reservoir storage capacity and sedimentation rate. Previously designated transect lines were surveyed by using a depth sounder coupled to a differential Global Positioning System to generate a bottom contour map and, ultimately, the stage-storage relation for Lago Carite. Survey results indicated that the storage capacity was 10.0 million cubic meters in 2018; no substantial sedimentation has occurred since the last survey in 1999 and the annual capacity loss is about 0.20 percent of the original reservoir capacity. The useful life of Lago Carite is projected to be 397 years, ending in 2415.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3454","collaboration":"Prepared in cooperation with the Puerto Rico Electric Power Authority","usgsCitation":"Gómez-Fragoso, J.M., 2020, Bathymetric survey and sedimentation analysis of Lago Carite, Puerto Rico, January 2018: U.S. Geological Survey Scientific Investigations Map 3454, 1 sheet, https://doi.org/10.3133/sim3454.","productDescription":"1 Sheet: 36.00 inches x 41.80 inches; Data Release","onlineOnly":"Y","ipdsId":"IP-102375","costCenters":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"links":[{"id":373840,"rank":2,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3454/sim3454.pdf","text":"Sheet","size":"3.52 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3454"},{"id":373841,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P98B49LM","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Data for bathymetric survey and sedimentation analysis of Lago Carite, Puerto Rico, January 2018"},{"id":373198,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3454/coverthb.jpg"}],"country":"United States","state":"Puerto Rico","otherGeospatial":"Lago Carite","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -66.1107873916626,\n 18.060925083057324\n ],\n [\n -66.08997344970703,\n 18.060925083057324\n ],\n [\n -66.08997344970703,\n 18.086178958119767\n ],\n [\n -66.1107873916626,\n 18.086178958119767\n ],\n [\n -66.1107873916626,\n 18.060925083057324\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Caribbean-Florida Water Science Center
U.S. Geological Survey
4446 Pet Lane, Suite 108
Lutz, FL 33559

","tableOfContents":"","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2020-04-13","noUsgsAuthors":false,"publicationDate":"2020-04-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Gomez-Fragoso, Julieta M. 0000-0002-1080-2950","orcid":"https://orcid.org/0000-0002-1080-2950","contributorId":223241,"corporation":false,"usgs":true,"family":"Gomez-Fragoso","given":"Julieta","middleInitial":"M.","affiliations":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"preferred":true,"id":784667,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70211971,"text":"70211971 - 2020 - Preliminary analysis to estimate the spatial distribution of benefits of P load reduction: Identifying the spatial influence of phosphorus loading from the Maumee River (USA) in western Lake Erie","interactions":[],"lastModifiedDate":"2020-08-12T20:37:07.753765","indexId":"70211971","displayToPublicDate":"2020-04-12T15:31:46","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Preliminary analysis to estimate the spatial distribution of benefits of P load reduction: Identifying the spatial influence of phosphorus loading from the Maumee River (USA) in western Lake Erie","docAbstract":"

Since the early 2000s, Lake Erie has been experiencing annual cyanobacterial blooms that often cover large portions of the western basin and even reach into the central basin. These blooms have affected several ecosystem services provided by Lake Erie to surrounding communities (notably drinking water quality). Several modeling efforts have identified the springtime total bioavailable phosphorus (TBP) load as a major driver of maximum cyanobacterial biomass in western Lake Erie, and on this basis, international water management bodies have set a phosphorus (P) reduction goal. This P reduction goal is intended to reduce maximum cyanobacterial biomass, but there has been very limited effort to identify the specific locations within the western basin of Lake Erie that will likely experience the most benefits. Here, we used pixel‐specific linear regression to identify where annual variation in spring TBP loads is most strongly associated with cyanobacterial abundance, as inferred from satellite imagery. Using this approach, we find that annual TBP loads are most strongly associated with cyanobacterial abundance in the central and southern areas of the western basin. At the location of the Toledo water intake, the association between TBP load and cyanobacterial abundance is moderate, and in Maumee Bay (near Toledo, Ohio), the association between TBP and cyanobacterial abundance is no better than a null model. Both of these locations are important for the delivery of specific ecosystem services, but this analysis indicates that P load reductions would not be expected to substantially improve maximum annual cyanobacterial abundance in these locations. These results are preliminary in the sense that only a limited set of models were tested in this analysis, but these results illustrate the importance of identifying whether the spatial distribution of management benefits (in this case P load reduction) matches the spatial distribution of management goals (reducing the effects of cyanobacteria on important ecosystem services).

","language":"English","publisher":"Wiley","doi":"10.1002/ece3.6160","usgsCitation":"Larson, J.H., Hlavacek, E., De Jager, N.R., Evans, M.A., and Wynne, T., 2020, Preliminary analysis to estimate the spatial distribution of benefits of P load reduction: Identifying the spatial influence of phosphorus loading from the Maumee River (USA) in western Lake Erie: Ecology and Evolution, v. 10, no. 9, p. 3968-3976, https://doi.org/10.1002/ece3.6160.","productDescription":"9 p.","startPage":"3968","endPage":"3976","ipdsId":"IP-111658","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":457106,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.6160","text":"Publisher Index Page"},{"id":377436,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan, Ohio","otherGeospatial":"Lake Erie, Maumee River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.177490234375,\n 42.00848901572399\n ],\n [\n -83.33404541015625,\n 41.920672548686824\n ],\n [\n -83.47412109375,\n 41.76721469421018\n ],\n [\n -83.47686767578125,\n 41.69547509615208\n ],\n [\n -83.3587646484375,\n 41.67086022030498\n ],\n [\n -83.1610107421875,\n 41.62160222224564\n ],\n [\n -83.056640625,\n 41.582579601430346\n ],\n [\n -82.96875,\n 41.52502957323801\n ],\n [\n -82.957763671875,\n 41.96153247330561\n ],\n [\n -83.177490234375,\n 42.00848901572399\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"10","issue":"9","noUsgsAuthors":false,"publicationDate":"2020-04-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Larson, James H. 0000-0002-6414-9758 jhlarson@usgs.gov","orcid":"https://orcid.org/0000-0002-6414-9758","contributorId":4250,"corporation":false,"usgs":true,"family":"Larson","given":"James","email":"jhlarson@usgs.gov","middleInitial":"H.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":796024,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hlavacek, Enrika 0000-0002-9872-2305 ehlavacek@usgs.gov","orcid":"https://orcid.org/0000-0002-9872-2305","contributorId":149114,"corporation":false,"usgs":true,"family":"Hlavacek","given":"Enrika","email":"ehlavacek@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":796025,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"De Jager, Nathan R. 0000-0002-6649-4125 ndejager@usgs.gov","orcid":"https://orcid.org/0000-0002-6649-4125","contributorId":3717,"corporation":false,"usgs":true,"family":"De Jager","given":"Nathan","email":"ndejager@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":796026,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Evans, Mary Anne 0000-0002-1627-7210 maevans@usgs.gov","orcid":"https://orcid.org/0000-0002-1627-7210","contributorId":149358,"corporation":false,"usgs":true,"family":"Evans","given":"Mary","email":"maevans@usgs.gov","middleInitial":"Anne","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":796027,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wynne, Timothy","contributorId":147819,"corporation":false,"usgs":false,"family":"Wynne","given":"Timothy","affiliations":[{"id":16942,"text":"National Oceanic and Atmospheric Administration, Silver Spring, Maryland","active":true,"usgs":false}],"preferred":false,"id":796028,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70209684,"text":"70209684 - 2020 - Viral, bacterial, and protozoan pathogens and fecal markers in wells supplying groundwater to public water systems in Minnesota, USA","interactions":[],"lastModifiedDate":"2020-04-21T16:00:50.510735","indexId":"70209684","displayToPublicDate":"2020-04-12T10:57:26","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3716,"text":"Water Research","onlineIssn":"1879-2448","printIssn":"0043-1354","active":true,"publicationSubtype":{"id":10}},"title":"Viral, bacterial, and protozoan pathogens and fecal markers in wells supplying groundwater to public water systems in Minnesota, USA","docAbstract":"

Drinking water supply wells can be contaminated by a broad range of waterborne pathogens. However, groundwater assessments frequently measure microbial indicators or a single pathogen type, which provides a limited characterization of potential health risk. This study assessed contamination of wells by testing for viral, bacterial, and protozoan pathogens and fecal markers. Wells supplying groundwater to community and noncommunity public water systems in Minnesota, USA (n = 145) were sampled every other month over one or two years and tested using 23 qPCR assays. Eighteen genetic targets were detected at least once, and microbiological contamination was widespread (96% of 145 wells, 58% of 964 samples). The sewage-associated microbial indicators HF183 and pepper mild mottle virus were detected frequently. Human or zoonotic pathogens were detected in 70% of wells and 21% of samples by qPCR, with Salmonella and Cryptosporidium detected more often than viruses. Samples positive by qPCR for adenovirus (HAdV), enterovirus, or Salmonella were analyzed by culture and for genotype or serotype. qPCR-positive Giardia and Cryptosporidium samples were analyzed by immunofluorescent assay (IFA), and IFA and qPCR concentrations were correlated. Comparisons of indicator and pathogen occurrence at the time of sampling showed that total coliforms, HF183, and Bacteroidales-like HumM2 had high specificity and negative predictive values but generally low sensitivity and positive predictive values. Pathogen-HF183 ratios in sewage have been used to estimate health risks from HF183 concentrations in surface water, but in our groundwater samples Cryptosporidium oocyst:HF183 and HAdV:HF183 ratios were approximately 10,000 times higher than ratios reported for sewage. qPCR measurements provided a robust characterization of microbiological water quality, but interpretation of qPCR data in a regulatory context is challenging because few studies link qPCR measurements to health risk.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.watres.2020.115814","collaboration":"","usgsCitation":"Stokdyk, J.P., Firnstahl, A.D., Walsh, J.F., Spencer, S.K., de Lambert, J.R., Anderson, A., Rezania, L.W., Kieke, B.A., and Borchardt, M.A., 2020, Viral, bacterial, and protozoan pathogens and fecal markers in wells supplying groundwater to public water systems in Minnesota, USA: Water Research, v. 178, 115814, 10 p., https://doi.org/10.1016/j.watres.2020.115814.","productDescription":"115814, 10 p.","ipdsId":"IP-114409","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":374158,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Water Science Center","active":true,"usgs":true}],"preferred":true,"id":787507,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walsh, James F.","contributorId":214333,"corporation":false,"usgs":false,"family":"Walsh","given":"James","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":787508,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Spencer, Susan K.","contributorId":210972,"corporation":false,"usgs":false,"family":"Spencer","given":"Susan","email":"","middleInitial":"K.","affiliations":[{"id":38162,"text":"United States Department of Agriculture Agricultural Research Service","active":true,"usgs":false}],"preferred":false,"id":787509,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"de Lambert, Jane R.","contributorId":214334,"corporation":false,"usgs":false,"family":"de Lambert","given":"Jane","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":787510,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Anderson, Anita C.","contributorId":214336,"corporation":false,"usgs":false,"family":"Anderson","given":"Anita C.","affiliations":[],"preferred":false,"id":787511,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rezania, Lih-in W.","contributorId":214337,"corporation":false,"usgs":false,"family":"Rezania","given":"Lih-in","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":787512,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kieke, Burney A","contributorId":195802,"corporation":false,"usgs":false,"family":"Kieke","given":"Burney","email":"","middleInitial":"A","affiliations":[],"preferred":false,"id":787513,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Borchardt, Mark A. 0000-0002-6471-2627","orcid":"https://orcid.org/0000-0002-6471-2627","contributorId":151033,"corporation":false,"usgs":false,"family":"Borchardt","given":"Mark","email":"","middleInitial":"A.","affiliations":[{"id":6684,"text":"USDA Forest Service, Southern Research Station, Aiken, SC","active":true,"usgs":false}],"preferred":false,"id":787514,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70209647,"text":"70209647 - 2020 - Practical limitations of Earthquake Early Warning","interactions":[],"lastModifiedDate":"2020-08-26T18:46:28.411877","indexId":"70209647","displayToPublicDate":"2020-04-12T06:44:40","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"Practical limitations of Earthquake Early Warning","docAbstract":"Earthquake Early Earning (EEW) entails detection of initial earthquake shaking and rapid estimation and notification to users prior to imminent, stronger shaking. EEW is coming to the U.S. West Coast. But what are the technical and social challenges to delivering actionable information on earthquake shaking before it arrives? Although there will be tangible benefits, there are also limitations. Basic seismological principles, alert communication challenges, and potential response actions as well as substantial lessons learned from the use of EEW in Japan, point to more limited opportunities to warn and protect than perhaps many expect. This is in part because potential warning times vary by region and are influenced by tectonic environment, hypocentral depth, and the fault’s proximity to the alert user. For the U.S. West Coast, particularly for crustal earthquakes, warning times are less impressive—and possible mitigation actions are likely to be less effective—than often maintained. Nevertheless, EEW is an additional arrow in the quiver of earthquake information tools available in the service of earthquake risk reduction. What is called for, then, is transparency and balance in the EEW discussion: along with its potential, the acknowledgement of EEW’s inherent and practical limitations is needed. Recognizing these limitations could, in fact, make EEW implementation more successful as part of a holistic earthquake mitigation strategy, where its role among other earthquake information tools is quite natural.","language":"English","publisher":"SAGE","doi":"10.1177/8755293020911388","usgsCitation":"Wald, D.J., 2020, Practical limitations of Earthquake Early Warning: Earthquake Spectra, v. 36, no. 3, p. 1412-1447, https://doi.org/10.1177/8755293020911388.","productDescription":"36 p.","startPage":"1412","endPage":"1447","ipdsId":"IP-113140","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":457110,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1177/8755293020911388","text":"Publisher Index Page"},{"id":374077,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"3","noUsgsAuthors":false,"publicationDate":"2020-04-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Wald, David J. 0000-0002-1454-4514 wald@usgs.gov","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":795,"corporation":false,"usgs":true,"family":"Wald","given":"David","email":"wald@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":787362,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70208914,"text":"70208914 - 2020 - Algorithm and data improvements for version 2.1 of the Climate Hazards center’s InfraRed Precipitation with Stations Data Set","interactions":[],"lastModifiedDate":"2020-06-02T23:07:41.618963","indexId":"70208914","displayToPublicDate":"2020-04-11T18:03:18","publicationYear":"2020","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"23","title":"Algorithm and data improvements for version 2.1 of the Climate Hazards center’s InfraRed Precipitation with Stations Data Set","docAbstract":"

To support global drought early warning, the Climate Hazards Center (CHC) at the University of California, Santa Barbara developed the Climate Hazards center InfraRed Precipitation with Stations (CHIRPS) dataset, in collaboration with the US Geological Survey and NASA SERVIR. Specifically designed to support early warning applications, CHIRPS has high a spatial resolution (0.05°), a long period of record (1981 to the near present), and relatively low latencies. Here we will describe a brief formal analysis of distributional bias in CHIRPS2.0. This analysis reveals, as expected, that CHIRPS2.0 means are very similar to observed station data. However, a closer look suggests that low precipitation values are underestimated and high values are over-estimated in the CHIRPS2.0. We describe a potential correction for this below.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Satellite Precipitation Measurement","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer Link","doi":"10.1007/978-3-030-24568-9_23","usgsCitation":"Funk, C., Peterson, P., Landsfeld, M., Davenport, F., Becker, A., Schneider, U., Pedreros, D., McNally, A., Arsenault, K., Harrison, L., and Shukla, S., 2020, Algorithm and data improvements for version 2.1 of the Climate Hazards center’s InfraRed Precipitation with Stations Data Set, chap. 23 of Satellite Precipitation Measurement, v. 1, p. 409-427, https://doi.org/10.1007/978-3-030-24568-9_23.","productDescription":"19 p.","startPage":"409","endPage":"427","ipdsId":"IP-102891","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":375276,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"1","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2020-04-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Funk, Chris 0000-0002-9254-6718 cfunk@usgs.gov","orcid":"https://orcid.org/0000-0002-9254-6718","contributorId":167070,"corporation":false,"usgs":true,"family":"Funk","given":"Chris","email":"cfunk@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":783971,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peterson, P.","contributorId":146377,"corporation":false,"usgs":false,"family":"Peterson","given":"P.","email":"","affiliations":[{"id":6710,"text":"University of California, Santa Barbara, CA","active":true,"usgs":false}],"preferred":false,"id":783972,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Landsfeld, Martin","contributorId":192380,"corporation":false,"usgs":false,"family":"Landsfeld","given":"Martin","affiliations":[],"preferred":false,"id":783973,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Davenport, Frank","contributorId":145816,"corporation":false,"usgs":false,"family":"Davenport","given":"Frank","email":"","affiliations":[{"id":7168,"text":"UCSB","active":true,"usgs":false}],"preferred":false,"id":783974,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Becker, A","contributorId":223064,"corporation":false,"usgs":false,"family":"Becker","given":"A","affiliations":[{"id":40663,"text":"Global Precipitation Climatology Centre, Deutscher Wetterdienst Headquarters, Offenbach Germany","active":true,"usgs":false}],"preferred":false,"id":783975,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schneider, U","contributorId":223065,"corporation":false,"usgs":false,"family":"Schneider","given":"U","email":"","affiliations":[{"id":40663,"text":"Global Precipitation Climatology Centre, Deutscher Wetterdienst Headquarters, Offenbach Germany","active":true,"usgs":false}],"preferred":false,"id":783976,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pedreros, Diego 0000-0001-9943-7373","orcid":"https://orcid.org/0000-0001-9943-7373","contributorId":218659,"corporation":false,"usgs":true,"family":"Pedreros","given":"Diego","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":false,"id":783977,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McNally, Amy","contributorId":145810,"corporation":false,"usgs":false,"family":"McNally","given":"Amy","email":"","affiliations":[{"id":16236,"text":"UCSB Climate Hazards Group","active":true,"usgs":false}],"preferred":false,"id":783978,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Arsenault, Kristi","contributorId":198836,"corporation":false,"usgs":false,"family":"Arsenault","given":"Kristi","affiliations":[],"preferred":false,"id":783979,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Harrison, Laura","contributorId":192382,"corporation":false,"usgs":false,"family":"Harrison","given":"Laura","email":"","affiliations":[],"preferred":false,"id":783980,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Shukla, S.","contributorId":147641,"corporation":false,"usgs":false,"family":"Shukla","given":"S.","email":"","affiliations":[{"id":16236,"text":"UCSB Climate Hazards Group","active":true,"usgs":false}],"preferred":false,"id":783981,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70206370,"text":"ofr20191115 - 2020 - A decision framework to analyze tide-gate options for restoration of the Herring River Estuary, Massachusetts","interactions":[],"lastModifiedDate":"2024-03-04T19:21:20.997009","indexId":"ofr20191115","displayToPublicDate":"2020-04-10T09:00:00","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-1115","displayTitle":"A Decision Framework to Analyze Tide-Gate Options for Restoration of the Herring River Estuary, Massachusetts","title":"A decision framework to analyze tide-gate options for restoration of the Herring River Estuary, Massachusetts","docAbstract":"

The collective set of decisions involved with the restoration of degraded wetlands is often more complex than considering only ecological responses and outcomes. Restoration is commonly driven by a complex interaction of social, economic, and ecological factors representing the mandate of resource stewards and the values of stakeholders. The authors worked with the Herring River Restoration Committee (HRRC) to develop a decision framework to understand the implications of complex tradeoffs and to guide decision making for the restoration of the 1,100-acre Herring River estuary within Cape Cod National Seashore, which has been restricted from tidal influence for more than 100 years. The HRRC represents decision maker and stakeholder interests in the restoration process. For a 25-year planning horizon, decisions involve the rate at which newly constructed water-control structures allow tidal exchange, and the timing and location of implementing numerous secondary management options. Decisions affect multiple stakeholders, including residents of two adjacent towns who value the watershed for numerous benefits and whose economy relies on seasonal activities and aquaculture. System response to management decisions is characterized by a high degree of uncertainty and risk with positive and negative outcomes possible. Decision policies will affect biophysical (for example, sediment transport, discharge of fecal coliform bacteria) and ecological (for example, vegetation response, fish passage, effects on shellfish) processes, as well as socioeconomic interests (for example, effects on property, viewscapes, recreation). The framework provides a structured approach for evaluating tradeoffs among multiple objectives (ecological and social) while appropriately characterizing relevant uncertainties and accounting for levels of risk tolerances and the values of decision makers and stakeholders. Consequences of tide-gate management options are predicted using a range of methods from quantitative physical process models to elicited expert judgement. The decision framework is presented, and the software developed to implement the tradeoff analysis is introduced. The results from an initial prototype analysis using a software application developed for analyses of tradeoffs and of sensitivity of the decision to risk and uncertainty are presented. The next step is to use the decision-support application to analyze options using improved predictions.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191115","collaboration":"Prepared in cooperation with National Park Service and U.S. Fish and Wildlife Service","usgsCitation":"Smith, D.R., Eaton, M.J., Gannon, J.J., Smith, T.P., Derleth, E.L., Katz, J., Bosma, K.F., and Leduc, E., 2020, A decision framework to analyze tide-gate options for restoration of the Herring River Estuary, Massachusetts: U.S. Geological Survey Open-File Report 2019–1115, 42 p., https://doi.org/10.3133/ofr20191115.","productDescription":"viii, 42 p.","numberOfPages":"54","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-101813","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":373779,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1115/ofr20191115.pdf","text":"Report","size":"3.52 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019-1115"},{"id":373778,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1115/coverthb.jpg"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Herring River Estuary","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -70.07286071777344,\n 41.92961289444422\n ],\n [\n -70.02462387084961,\n 41.92961289444422\n ],\n [\n -70.02462387084961,\n 41.96357478222518\n ],\n [\n -70.07286071777344,\n 41.96357478222518\n ],\n [\n -70.07286071777344,\n 41.92961289444422\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Eastern Ecological Science Center
U.S. Geological Survey
11649 Leetown Road
Kearneysville, WV 25430

","tableOfContents":"","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2020-04-10","noUsgsAuthors":false,"publicationDate":"2020-04-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, David R. 0000-0001-6074-9257 drsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-6074-9257","contributorId":168442,"corporation":false,"usgs":true,"family":"Smith","given":"David","email":"drsmith@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":774307,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eaton, Mitchell J. 0000-0001-7324-6333","orcid":"https://orcid.org/0000-0001-7324-6333","contributorId":216712,"corporation":false,"usgs":true,"family":"Eaton","given":"Mitchell J.","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":774308,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gannon, Jill J.","contributorId":220143,"corporation":false,"usgs":false,"family":"Gannon","given":"Jill","email":"","middleInitial":"J.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":774309,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Timothy P.","contributorId":220144,"corporation":false,"usgs":false,"family":"Smith","given":"Timothy","email":"","middleInitial":"P.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":774310,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Derleth, Eric L.","contributorId":220145,"corporation":false,"usgs":false,"family":"Derleth","given":"Eric","email":"","middleInitial":"L.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":774311,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Katz, Jonathan","contributorId":220146,"corporation":false,"usgs":false,"family":"Katz","given":"Jonathan","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":774312,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bosma, Kirk F.","contributorId":220147,"corporation":false,"usgs":false,"family":"Bosma","given":"Kirk","email":"","middleInitial":"F.","affiliations":[{"id":40133,"text":"Woods Hole Group","active":true,"usgs":false}],"preferred":false,"id":774313,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Leduc, Elise","contributorId":220148,"corporation":false,"usgs":false,"family":"Leduc","given":"Elise","email":"","affiliations":[{"id":40133,"text":"Woods Hole Group","active":true,"usgs":false}],"preferred":false,"id":774314,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70209470,"text":"sir20205027 - 2020 - A multidecade analysis of fluvial geomorphic evolution of the Spirit Lake blockage, Mount St. Helens, Washington","interactions":[],"lastModifiedDate":"2020-04-13T16:09:33.61663","indexId":"sir20205027","displayToPublicDate":"2020-04-10T07:31:07","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-5027","displayTitle":"A Multidecade Analysis of Fluvial Geomorphic Evolution of the Spirit Lake Blockage, Mount St. Helens, Washington","title":"A multidecade analysis of fluvial geomorphic evolution of the Spirit Lake blockage, Mount St. Helens, Washington","docAbstract":"

Volcanic eruptions can affect landscapes in many ways and consequently alter erosion and the fluxes of water and sediment. Hydrologic and geomorphic responses to volcanic disturbances are varied in both space and time, and, in some instances, can persist for decades to centuries. Understanding the broad context of how landscapes respond to eruptions can help inform how they may evolve, and therefore provides context for managing and mitigating hazards associated with future volcanic and hydrologic events. Here, we assess the geomorphic evolution of the upper North Fork Toutle River valley, the valley most heavily affected by the Mount St. Helens May 18 and later 1980s eruptions. By doing so, we provide context for the landscape changes caused by the eruptions as they relate to potential hydrological hazards associated with Spirit Lake, an iconic landform at the northern foot of the volcano. The Spirit Lake basin was transformed by the cataclysmic 1980 eruption and had its outlet blocked. The analyses presented provide context for considerations of potential outlets for Spirit Lake, a landform which might be viewed as a “sleeping giant” on this landscape: a giant capable of causing catastrophic downstream consequences if water is released uncontrollably from the lake.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205027","collaboration":"Prepared in cooperation with the U.S. Department of Agriculture, U.S. Forest Service, Gifford Pinchot National Forest","usgsCitation":"Major, J.J., Grant, G.E., Sweeney, K., and Mosbrucker, A.R., 2020, A multidecade analysis of fluvial geomorphic evolution of the Spirit Lake blockage, Mount St. Helens, Washington: U.S. Geological Survey Scientific Investigations Report 2020-5027, 54 p., https://doi.org/10.3133/sir20205027.","productDescription":"vii, 54 p.","onlineOnly":"Y","ipdsId":"IP-109211","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":373866,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5027/sir20205027.pdf","text":"Report","size":"9.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020-5027"},{"id":373905,"rank":3,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/sir/2020/5027/sir20205027_SupplementalDataFile_DF1.xlsx","text":"Supplemental data file DF1","size":"1.9 MB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2020-5027 Supplemental Data File DF1","linkHelpText":"Estimated long-term daily flow hydrology from North Fork Toutle River, WA, below SRS"},{"id":373865,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5027/coverthb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Mount St. Helens","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.36984252929688,\n 46.081804301792545\n ],\n [\n -122.01965332031249,\n 46.081804301792545\n ],\n [\n -122.01965332031249,\n 46.39998810407942\n ],\n [\n -122.36984252929688,\n 46.39998810407942\n ],\n [\n -122.36984252929688,\n 46.081804301792545\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Volcano Science Center
Cascades Volcano Observatory
U.S. Geological Survey
1300 SE Cardinal Court
Vancouver, WA, 98683

","tableOfContents":"","publishedDate":"2020-04-10","noUsgsAuthors":false,"publicationDate":"2020-04-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Major, Jon J. 0000-0003-2449-4466 jjmajor@usgs.gov","orcid":"https://orcid.org/0000-0003-2449-4466","contributorId":439,"corporation":false,"usgs":true,"family":"Major","given":"Jon","email":"jjmajor@usgs.gov","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":786640,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grant, Gordon E.","contributorId":30881,"corporation":false,"usgs":false,"family":"Grant","given":"Gordon E.","affiliations":[{"id":12647,"text":"U.S. Forest Service, Pacific Northwest Research Station","active":true,"usgs":false}],"preferred":false,"id":786641,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sweeney, Kristin 0000-0002-5674-1217 ksweeney@usgs.gov","orcid":"https://orcid.org/0000-0002-5674-1217","contributorId":194296,"corporation":false,"usgs":true,"family":"Sweeney","given":"Kristin","email":"ksweeney@usgs.gov","affiliations":[],"preferred":true,"id":786642,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mosbrucker, Adam R. 0000-0003-0298-0324","orcid":"https://orcid.org/0000-0003-0298-0324","contributorId":33640,"corporation":false,"usgs":true,"family":"Mosbrucker","given":"Adam R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":786643,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70211249,"text":"70211249 - 2020 - Black bear movement and food conditioning in an exurban landscape","interactions":[],"lastModifiedDate":"2020-07-22T14:11:35.232544","indexId":"70211249","displayToPublicDate":"2020-04-09T13:46:40","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Black bear movement and food conditioning in an exurban landscape","docAbstract":"Conflicts between humans and wildlife have become increasingly important challenges for resource managers along the urban‐wildland interface. Food conditioning (i.e., reliance by an animal on anthropogenic foods) of American black bears (Ursus americanus ) is related to conflict behavior (i.e., being bold or aggressive toward humans, consuming human food or garbage, causing property damage) and often occurs in communities adjacent to Great Smoky Mountains National Park (GRSM or Park), USA. The goal of our study was to evaluate black bear space use in GRSM and in exurban areas on surrounding private lands and to identify factors associated with food conditioning and conflict behavior. We radio‐collared 53 bears (29 males, 24 females) from 2015 to 2017 to compare space use characteristics and used carbon isotopic signatures (δ13C) from bear hair to assess food conditioning. We then performed an integrated step selection function (iSSF) analysis to characterize and compare movement and resource use as related to food conditioning. Based on the stable isotope analyses, 24 bears were classified as food conditioned (FC; 16 males and 8 females) and 37 were not food conditioned (NFC; 14 males and 23 females). Annual 95% kernel density estimate (KDE) home ranges and 50% KDE core area estimates of female and male bears did not differ by level of food conditioning (i.e., mean δ13C), but 95% and 50% home ranges of FC females were smaller than NFC females when data from 2015, a year of food scarcity and abnormally large home ranges, were excluded. The mean proportion of exurban development (e.g., roads, buildings, openings) within 95% KDE and 50% KDE home ranges of females increased with mean δ13C (i.e., greater food conditioning). The iSSF models indicated that FC bears were more likely to use forest openings associated with higher levels of development than NFC bears. We used those models to demonstrate how landscape modifications can reduce bear use of exurban areas, particularly for NFC bears. Our stable isotope, movement, and resource use data indicate that conflict behaviors displayed by many bears within GRSM were learned in areas outside Park boundaries. © 2020 The Wildlife Society.","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21870","usgsCitation":"Braunstein, J., Clark, J.D., Williamson, R.H., and Stiver, W., 2020, Black bear movement and food conditioning in an exurban landscape: Journal of Wildlife Management, v. 84, no. 6, p. 1038-1050, https://doi.org/10.1002/jwmg.21870.","productDescription":"13 p.","startPage":"1038","endPage":"1050","ipdsId":"IP-116428","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":376574,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Tennessee, North Carolina","otherGeospatial":"Great Smoky Mountains National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.9959716796875,\n 35.570214567965984\n ],\n [\n -83.98635864257812,\n 35.505400093441295\n ],\n [\n -83.81057739257814,\n 35.420391545750775\n ],\n [\n -83.61831665039062,\n 35.40696093270201\n ],\n [\n -83.36563110351564,\n 35.420391545750775\n ],\n [\n -83.21731567382814,\n 35.50092819950356\n ],\n [\n -83.02505493164064,\n 35.483038134069574\n ],\n [\n -82.9632568359375,\n 35.58361791939279\n ],\n [\n -82.95089721679689,\n 35.663990911348094\n ],\n [\n -83.02093505859376,\n 35.75765724051559\n ],\n [\n -83.1390380859375,\n 35.78662688467007\n ],\n [\n -83.26538085937501,\n 35.7843988251953\n ],\n [\n -83.32717895507814,\n 35.787740890986576\n ],\n [\n -83.38348388671876,\n 35.756542812691876\n ],\n [\n -83.45764160156251,\n 35.72979186282792\n ],\n [\n -83.50982666015625,\n 35.71641301732958\n ],\n [\n -83.54827880859375,\n 35.70972275209277\n ],\n [\n -83.59359741210939,\n 35.71083783530009\n ],\n [\n -83.68423461914062,\n 35.679609609368555\n ],\n [\n -83.80783081054689,\n 35.68072511370387\n ],\n [\n -83.90945434570314,\n 35.65841206428204\n ],\n [\n -83.95477294921874,\n 35.631628173298445\n ],\n [\n -83.9959716796875,\n 35.570214567965984\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"84","issue":"6","noUsgsAuthors":false,"publicationDate":"2020-04-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Braunstein, Jessica","contributorId":229510,"corporation":false,"usgs":false,"family":"Braunstein","given":"Jessica","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":793407,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clark, Joseph D. 0000-0002-8547-8112 jclark1@usgs.gov","orcid":"https://orcid.org/0000-0002-8547-8112","contributorId":2265,"corporation":false,"usgs":true,"family":"Clark","given":"Joseph","email":"jclark1@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":793408,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Williamson, Ryan H","contributorId":229511,"corporation":false,"usgs":false,"family":"Williamson","given":"Ryan","email":"","middleInitial":"H","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":793409,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stiver, William H","contributorId":228824,"corporation":false,"usgs":false,"family":"Stiver","given":"William H","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":793410,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70218230,"text":"70218230 - 2020 - Volcanological applications of unoccupied aircraft systems (UAS): Developments, strategies, and future challenges","interactions":[],"lastModifiedDate":"2021-02-19T18:05:39.431635","indexId":"70218230","displayToPublicDate":"2020-04-09T12:01:21","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7593,"text":"Volcanica","active":true,"publicationSubtype":{"id":10}},"title":"Volcanological applications of unoccupied aircraft systems (UAS): Developments, strategies, and future challenges","docAbstract":"Unoccupied aircraft systems (UAS) are developing into fundamental tools for tackling the grand challenges in volcanology; here, we review the systems used and their diverse applications. UAS can typically provide image and topographic data at two orders of magnitude better spatial resolution than space-based remote sensing, and close-range observations at temporal resolutions down to those of video frame rates. Responsive deployments facilitate dense time-series measurements, unique opportunities for geophysical surveys, sample collection from hostile environments such as volcanic plumes and crater lakes, and emergency deployment of ground-based sensors (and robots) into hazardous regions. UAS have already been used to support hazard management and decision-makers during eruptive crises. As technologies advance, increased system capabilities, autonomy and availability, supported by more diverse and lighter-weight sensors, will offer unparalleled potential for hazard monitoring. UAS are expected to provide opportunities for pivotal advances in our understanding of complex physical and chemical volcanic processes.","language":"English","publisher":"Presses universitaires de Strasbourg","doi":"10.30909/vol.03.01.67114","usgsCitation":"James, M.R., Carr, B., D’Arcy, F., Diefenbach, A., Dietterich, H., Fornaciai, A., Lev, E., Liu, E.J., Pieri, D.C., Rodgers, M., Smets, B., Terada, A., von Aulock, F.W., Walter, T.R., Wood, K.T., and Zorn, E.U., 2020, Volcanological applications of unoccupied aircraft systems (UAS): Developments, strategies, and future challenges: Volcanica, v. 3, no. 1, p. 67-114, https://doi.org/10.30909/vol.03.01.67114.","productDescription":"48 p.","startPage":"67","endPage":"114","ipdsId":"IP-112178","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":457115,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.30909/vol.03.01.67114","text":"Publisher Index Page"},{"id":383379,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","issue":"1","noUsgsAuthors":false,"publicationDate":"2020-04-09","publicationStatus":"PW","contributors":{"authors":[{"text":"James, Mike R.","contributorId":199802,"corporation":false,"usgs":false,"family":"James","given":"Mike","email":"","middleInitial":"R.","affiliations":[{"id":13133,"text":"Lancaster Environment Centre, Lancaster University, Lancaster, UK","active":true,"usgs":false}],"preferred":false,"id":810520,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carr, Brett B 0000-0002-1033-3082","orcid":"https://orcid.org/0000-0002-1033-3082","contributorId":251755,"corporation":false,"usgs":false,"family":"Carr","given":"Brett B","affiliations":[{"id":17701,"text":"Lamont-Doherty Earth Observatory","active":true,"usgs":false}],"preferred":false,"id":810521,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"D’Arcy, Fiona 0000-0002-0879-0508","orcid":"https://orcid.org/0000-0002-0879-0508","contributorId":251756,"corporation":false,"usgs":false,"family":"D’Arcy","given":"Fiona","email":"","affiliations":[{"id":6646,"text":"McGill University","active":true,"usgs":false}],"preferred":false,"id":810522,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Diefenbach, Angela K. 0000-0003-0214-7818","orcid":"https://orcid.org/0000-0003-0214-7818","contributorId":204743,"corporation":false,"usgs":true,"family":"Diefenbach","given":"Angela K.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":810523,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dietterich, Hannah R. 0000-0001-7898-4343","orcid":"https://orcid.org/0000-0001-7898-4343","contributorId":212771,"corporation":false,"usgs":true,"family":"Dietterich","given":"Hannah R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":810524,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fornaciai, Alessandro 0000-0003-4829-4928","orcid":"https://orcid.org/0000-0003-4829-4928","contributorId":251757,"corporation":false,"usgs":false,"family":"Fornaciai","given":"Alessandro","email":"","affiliations":[{"id":39118,"text":"Istituto Nazionale di Geofisica e Vulcanologia","active":true,"usgs":false}],"preferred":false,"id":810525,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lev, Einat 0000-0002-8174-0558","orcid":"https://orcid.org/0000-0002-8174-0558","contributorId":194355,"corporation":false,"usgs":false,"family":"Lev","given":"Einat","email":"","affiliations":[{"id":27369,"text":"Lamont-Doherty Earth Observatory at Columbia University","active":true,"usgs":false}],"preferred":false,"id":810526,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Liu, Emma J 0000-0003-1749-9285","orcid":"https://orcid.org/0000-0003-1749-9285","contributorId":251758,"corporation":false,"usgs":false,"family":"Liu","given":"Emma","email":"","middleInitial":"J","affiliations":[{"id":27136,"text":"University of Cambridge","active":true,"usgs":false}],"preferred":false,"id":810527,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Pieri, David C.","contributorId":211514,"corporation":false,"usgs":false,"family":"Pieri","given":"David","email":"","middleInitial":"C.","affiliations":[{"id":36392,"text":"Jet Propulsion Laboratory","active":true,"usgs":false}],"preferred":false,"id":810528,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Rodgers, Mel 0000-0002-8809-9935","orcid":"https://orcid.org/0000-0002-8809-9935","contributorId":251759,"corporation":false,"usgs":false,"family":"Rodgers","given":"Mel","email":"","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":810529,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Smets, Benoit 0000-0002-1044-8314","orcid":"https://orcid.org/0000-0002-1044-8314","contributorId":251760,"corporation":false,"usgs":false,"family":"Smets","given":"Benoit","email":"","affiliations":[{"id":50395,"text":"Royal Museum for Central Africa","active":true,"usgs":false}],"preferred":false,"id":810530,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Terada, Akihiko 0000-0001-5746-4912","orcid":"https://orcid.org/0000-0001-5746-4912","contributorId":251761,"corporation":false,"usgs":false,"family":"Terada","given":"Akihiko","email":"","affiliations":[{"id":38251,"text":"Tokyo Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":810531,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"von Aulock, Felix W 0000-0003-1194-4317","orcid":"https://orcid.org/0000-0003-1194-4317","contributorId":251762,"corporation":false,"usgs":false,"family":"von Aulock","given":"Felix","email":"","middleInitial":"W","affiliations":[{"id":16977,"text":"University of Liverpool","active":true,"usgs":false}],"preferred":false,"id":810532,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Walter, Thomas R.","contributorId":199803,"corporation":false,"usgs":false,"family":"Walter","given":"Thomas","email":"","middleInitial":"R.","affiliations":[{"id":16947,"text":"German Research Centre for Geosciences","active":true,"usgs":false}],"preferred":false,"id":810533,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Wood, Kieran T 0000-0002-5804-7704","orcid":"https://orcid.org/0000-0002-5804-7704","contributorId":251763,"corporation":false,"usgs":false,"family":"Wood","given":"Kieran","email":"","middleInitial":"T","affiliations":[{"id":37322,"text":"University of Bristol","active":true,"usgs":false}],"preferred":false,"id":810534,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Zorn, Edgar U 0000-0002-1896-2844","orcid":"https://orcid.org/0000-0002-1896-2844","contributorId":251764,"corporation":false,"usgs":false,"family":"Zorn","given":"Edgar","email":"","middleInitial":"U","affiliations":[{"id":39797,"text":"GFZ German Research Centre for Geosciences","active":true,"usgs":false}],"preferred":false,"id":810535,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}} ,{"id":70210589,"text":"70210589 - 2020 - Combined effects of biological control of an invasive shrub and fluvial processes on riparian vegetation dynamics","interactions":[],"lastModifiedDate":"2020-08-06T19:32:51.734887","indexId":"70210589","displayToPublicDate":"2020-04-09T10:52:00","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Combined effects of biological control of an invasive shrub and fluvial processes on riparian vegetation dynamics","docAbstract":"

Plant community responses to biocontrol of invasive plants are understudied, despite the strong influence of the composition of replacement vegetation on ecosystem functions and services. We studied the vegetation response to a folivore beetle (Diorhabda genus, Coleoptera) that has been introduced along southwestern US river valleys to control the invasion of non-native shrubs in the genus Tamarix (Tamaricaceae). We collected detailed plant compositional and environmental data during four different surveys over 7 years (2010–2017), including two surveys prior to when substantial beetle-induced dieback occurred in summer 2012, along the lower Virgin River, Nevada. The study river was of special interest because it is one of only a few largely unregulated rivers in the region, and a large flood of 40-year return period occurred between the first and second surveys, allowing us to study the combined effects of fluvial processes, which typically drive riparian plant community assembly, and biocontrol. Vegetation trajectories differed as a function of the dominant geomorphological process. Tamarix cover declined an average of 75% and was replaced by the native shrub Pluchea sericea as the new dominant species in the floodplain, especially where sediment deposition predominated. Following deposition, and especially erosion, opportunistic native herbs, Tamarix seedlings, and noxious weeds colonized the understory layer but did not increase in cover over time. Stands of the native shrub Salix exigua, a desirable replacement species following Tamarix control, only increased slightly and remained subordinate in the floodplain. Overall, our results showed that, by successfully controlling the target non-native plant, a biocontrol agent can substantially modify the replacement plant communities in a riparian system, but that fluvial processes also strongly influence the resulting communities.

","language":"English","publisher":"Springer","doi":"10.1007/s10530-020-02259-9","usgsCitation":"Gonzalez, E., Shafroth, P., Lee, S.R., Ostoja, S., and Brooks, M.L., 2020, Combined effects of biological control of an invasive shrub and fluvial processes on riparian vegetation dynamics: Biological Invasions, v. 22, p. 2339-2356, https://doi.org/10.1007/s10530-020-02259-9.","productDescription":"18 p.","startPage":"2339","endPage":"2356","ipdsId":"IP-117377","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":437028,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P97KZJGP","text":"USGS data release","linkHelpText":"Riparian vegetation, topography, sediment quality and river corridor geomorphology in the Lower Virgin River 2010-2017"},{"id":375517,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Nevada, Utah","otherGeospatial":"Virgin River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -115.55419921875,\n 36.328402729422656\n ],\n [\n -113.02734374999999,\n 36.328402729422656\n ],\n [\n -113.02734374999999,\n 37.496652341233364\n ],\n [\n -115.55419921875,\n 37.496652341233364\n ],\n [\n -115.55419921875,\n 36.328402729422656\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"22","noUsgsAuthors":false,"publicationDate":"2020-04-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Gonzalez, Eduardo","contributorId":225181,"corporation":false,"usgs":false,"family":"Gonzalez","given":"Eduardo","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":790705,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shafroth, Patrick B. 0000-0002-6064-871X","orcid":"https://orcid.org/0000-0002-6064-871X","contributorId":225182,"corporation":false,"usgs":true,"family":"Shafroth","given":"Patrick B.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":790706,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lee, Steven R. 0000-0002-4581-3684 srlee@usgs.gov","orcid":"https://orcid.org/0000-0002-4581-3684","contributorId":5630,"corporation":false,"usgs":true,"family":"Lee","given":"Steven","email":"srlee@usgs.gov","middleInitial":"R.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":790707,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ostoja, Steven M.","contributorId":225183,"corporation":false,"usgs":false,"family":"Ostoja","given":"Steven M.","affiliations":[{"id":32922,"text":"USDA California Climate Hub","active":true,"usgs":false}],"preferred":false,"id":790708,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brooks, Matthew L. 0000-0002-3518-6787 mlbrooks@usgs.gov","orcid":"https://orcid.org/0000-0002-3518-6787","contributorId":393,"corporation":false,"usgs":true,"family":"Brooks","given":"Matthew","email":"mlbrooks@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":790709,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70210107,"text":"70210107 - 2020 - Migration corridors and threats in the Gulf of Mexico and Florida Straits for loggerhead sea turtles","interactions":[],"lastModifiedDate":"2020-05-14T15:14:47.624852","indexId":"70210107","displayToPublicDate":"2020-04-09T10:10:05","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3912,"text":"Frontiers in Marine Science","onlineIssn":"2296-7745","active":true,"publicationSubtype":{"id":10}},"title":"Migration corridors and threats in the Gulf of Mexico and Florida Straits for loggerhead sea turtles","docAbstract":"

Along migration corridors, animals can face natural and anthropogenic threats that differ from those in breeding and non-breeding residence areas. Satellite telemetry can aid in describing the timing and location of these migrations. We use this tool with switching state-space modeling and line kernel density estimates to identify migration corridors of post-nesting adult female loggerhead sea turtles (Caretta caretta, n = 89 tracks) that nested at five beaches in the Gulf of Mexico. Turtles migrated in both neritic and oceanic areas of the Gulf of Mexico with some exiting the Gulf. High-use migration corridors were found in neritic areas to the west of Florida and also in the Florida Straits. Repeat tracking of post-nesting migrations for eight turtles showed variability in track overlap, ranging from ∼13 to 82% of tracks within 10 km of each other. Migration primarily occurred in July and August. We document the longest known post-nesting migration to-date of a wild adult female loggerhead of >4,300 km, along with an apparent stopover of about 1 month. Migration corridors overlaid on three spatially explicit anthropogenic threats (shipping density, commercial line fishing, and shrimp trawling) showed hotspots in the Florida Straits, off the northwest Florida coast and off the coast of Tampa Bay. Identifying where and at what intensity multiple human activities and natural processes most likely occur is a key goal of Cumulative Effects Assessments. Our results provide the scientific information needed for designing management strategies for this threatened species. Information about this loggerhead migration corridor can also be used to inform adaptive management as threats shift over time.

","language":"English","publisher":"Frontiers","doi":"10.3389/fmars.2020.00208","collaboration":"","usgsCitation":"Iverson, A., Benscoter, A., Fujisaki, I., Lamont, M., and Hart, K., 2020, Migration corridors and threats in the Gulf of Mexico and Florida Straits for loggerhead sea turtles: Frontiers in Marine Science, v. 7, 208, 12 p., https://doi.org/10.3389/fmars.2020.00208.","productDescription":"208, 12 p.","ipdsId":"IP-113942","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":457117,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmars.2020.00208","text":"Publisher Index Page"},{"id":374824,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Florida","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -79.0576171875,\n 23.28171917560002\n ],\n [\n -80.5517578125,\n 26.07652055985697\n ],\n [\n -82.2216796875,\n 27.68352808378776\n ],\n [\n -83.84765625,\n 30.14512718337613\n ],\n [\n -86.923828125,\n 30.44867367928756\n ],\n [\n -89.3408203125,\n 30.183121842195515\n ],\n [\n -90.8349609375,\n 29.458731185355344\n ],\n [\n -89.3408203125,\n 22.268764039073968\n ],\n [\n -79.0576171875,\n 23.28171917560002\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"7","noUsgsAuthors":false,"publicationDate":"2020-04-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Iverson, Autumn 0000-0002-8353-6745","orcid":"https://orcid.org/0000-0002-8353-6745","contributorId":218320,"corporation":false,"usgs":true,"family":"Iverson","given":"Autumn","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":789140,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Benscoter, Allison 0000-0003-4205-3808","orcid":"https://orcid.org/0000-0003-4205-3808","contributorId":220759,"corporation":false,"usgs":true,"family":"Benscoter","given":"Allison","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":789141,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fujisaki, Ikuko","contributorId":38359,"corporation":false,"usgs":false,"family":"Fujisaki","given":"Ikuko","affiliations":[],"preferred":false,"id":789142,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lamont, Margaret 0000-0001-7520-6669","orcid":"https://orcid.org/0000-0001-7520-6669","contributorId":206815,"corporation":false,"usgs":true,"family":"Lamont","given":"Margaret","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":789143,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hart, Kristen 0000-0002-5257-7974","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":207590,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":789144,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70219554,"text":"70219554 - 2020 - Magnitude and direction of stream–forest community interactions change with timescale","interactions":[],"lastModifiedDate":"2021-04-13T12:51:49.847707","indexId":"70219554","displayToPublicDate":"2020-04-09T07:50:19","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Magnitude and direction of stream–forest community interactions change with timescale","docAbstract":"

Networks of direct and indirect biotic interactions underpin the complex dynamics and stability of ecological systems, yet experimental and theoretical studies often yield conflicting evidence regarding the direction (positive or negative) or magnitude of these interactions. We revisited pioneering data sets collected at the deciduous forested Horonai Stream and conducted ecosystem‐level syntheses to demonstrate that the direction of direct and indirect interactions can change depending on the timescale of observation. Prior experimental studies showed that terrestrial prey that enter the stream from the adjacent forest caused positive indirect effects on aquatic invertebrates during summer by diverting fish consumption. Seasonal and annual estimates of secondary production and organic matter flows along food web pathways demonstrate that this seasonal input of terrestrial invertebrate prey increases production of certain fish species, reversing the indirect effect on aquatic invertebrates from positive at the seasonal timescale to negative at the annual timescale. Even though terrestrial invertebrate prey contributed 54% of the annual organic matter flux to fishes, primarily during summer, fish still consumed 98% of the aquatic invertebrate annual production, leading to top‐down control that is not revealed in short‐term experiments and demonstrating that aquatic prey may be a limiting resource for fishes. Changes in the direction or magnitude of interactions may be a key factor creating nonlinear or stabilizing feedbacks in complex systems, and these dynamics can be revealed by merging experimental and comparative approaches at different scales.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.3064","usgsCitation":"Marcarelli, A.M., Baxter, C., Benjamin, J.R., Miyake, Y., Murakami, M., Fausch, K., and Nakano, S., 2020, Magnitude and direction of stream–forest community interactions change with timescale: Ecology, v. 101, no. 8, e03064, 10 p., https://doi.org/10.1002/ecy.3064.","productDescription":"e03064, 10 p.","ipdsId":"IP-109993","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":385052,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"101","issue":"8","noUsgsAuthors":false,"publicationDate":"2020-05-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Marcarelli, Amy M 0000-0002-4175-9211","orcid":"https://orcid.org/0000-0002-4175-9211","contributorId":257363,"corporation":false,"usgs":false,"family":"Marcarelli","given":"Amy","email":"","middleInitial":"M","affiliations":[{"id":16203,"text":"Michigan Technological university","active":true,"usgs":false}],"preferred":false,"id":814126,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baxter, Colden V.","contributorId":47334,"corporation":false,"usgs":false,"family":"Baxter","given":"Colden V.","affiliations":[{"id":13656,"text":"Idaho State Univ.","active":true,"usgs":false}],"preferred":false,"id":814127,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Benjamin, Joseph R. 0000-0003-3733-6838 jbenjamin@usgs.gov","orcid":"https://orcid.org/0000-0003-3733-6838","contributorId":3999,"corporation":false,"usgs":true,"family":"Benjamin","given":"Joseph","email":"jbenjamin@usgs.gov","middleInitial":"R.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":814128,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miyake, Yo 0000-0002-3838-2513","orcid":"https://orcid.org/0000-0002-3838-2513","contributorId":257366,"corporation":false,"usgs":false,"family":"Miyake","given":"Yo","email":"","affiliations":[{"id":52005,"text":"Ehime University","active":true,"usgs":false}],"preferred":false,"id":814129,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Murakami, Masashi 0000-0003-4374-4045","orcid":"https://orcid.org/0000-0003-4374-4045","contributorId":257367,"corporation":false,"usgs":false,"family":"Murakami","given":"Masashi","email":"","affiliations":[{"id":37962,"text":"Chiba University","active":true,"usgs":false}],"preferred":false,"id":814130,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fausch, K.D. 0000-0001-5825-7560","orcid":"https://orcid.org/0000-0001-5825-7560","contributorId":84097,"corporation":false,"usgs":false,"family":"Fausch","given":"K.D.","affiliations":[],"preferred":false,"id":814131,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nakano, Shigeru","contributorId":257368,"corporation":false,"usgs":false,"family":"Nakano","given":"Shigeru","email":"","affiliations":[{"id":36662,"text":"Kyoto University","active":true,"usgs":false}],"preferred":false,"id":814132,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70210212,"text":"70210212 - 2020 - USGS “Did You Feel It?” — Science and lessons from twenty years of citizen science-based macroseismology","interactions":[],"lastModifiedDate":"2020-06-04T12:34:23.786193","indexId":"70210212","displayToPublicDate":"2020-04-09T07:41:57","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5232,"text":"Frontiers in Earth Science","onlineIssn":"2296-6463","active":true,"publicationSubtype":{"id":10}},"title":"USGS “Did You Feel It?” — Science and lessons from twenty years of citizen science-based macroseismology","docAbstract":"The U.S. Geological Survey (USGS) “Did You Feel It?” (DYFI) system is an automatic method for rapidly collecting macroseismic intensity data from Internet users’ shaking and damage reports and for generating intensity maps immediately following felt earthquakes. DYFI has been in operation for nearly two decades (1999-2019) in the United States, and for nearly 15 years globally. During that period the amount of data collected is astounding: Over 5 million individual DYFI intensity reports—spanning all magnitude and distance ranges—have been amassed and archived. DYFI allows for macroseismic data collection at rates and quantities never before imagined, and thus high-quality macroseismic intensity maps can be made almost immediately, and with more complete coverage at higher resolution than in the past. DYFI also allows for valuable positive interactions of the citizenry with a Federal science agency. In essence, the widespread adoption of DYFI—along with ShakeMap—has facilitated the general acceptance of the very concept of shaking intensity, fundamentally improving our agency’s ability to communicate both hazard and risk to the population. DYFI effectively confirms the importance of reporting and inculcating the public’s understanding of intensity—in addition to magnitude—for a proper perspective of earthquake risk-related decision-making. Furthermore, the vast amount of DYFI data allow for data-rich analyses of otherwise intractable seismological, sociological, and earthquake impact studies that range from quantifying the shaking due to induced earthquakes, to human response and risk\nperception, to relating recorded shaking metrics to macroseismic effects, and the attenuation of intensity with magnitude and distance. Naturally, web-based data collection also poses challenges. After two decades of experience acquiring data with the DYFI system, we address some of these hallenges by documenting refinements to our algorithmic and operational procedures that have evolved over that time. Lastly, we outline new opportune research and development directions for our DYFI approach to citizen seismology.","language":"English","publisher":"Frontiers","doi":"10.3389/feart.2020.00120","usgsCitation":"Quitoriano, V., and Wald, D.J., 2020, USGS “Did You Feel It?” — Science and lessons from twenty years of citizen science-based macroseismology: Frontiers in Earth Science, v. 8, no. 120, 13 p., https://doi.org/10.3389/feart.2020.00120.","productDescription":"13 p.","ipdsId":"IP-117773","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":457120,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/feart.2020.00120","text":"Publisher Index Page"},{"id":374981,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","volume":"8","issue":"120","noUsgsAuthors":false,"publicationDate":"2020-05-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Quitoriano, Vince 0000-0003-4157-1101 vinceq@usgs.gov","orcid":"https://orcid.org/0000-0003-4157-1101","contributorId":2582,"corporation":false,"usgs":true,"family":"Quitoriano","given":"Vince","email":"vinceq@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":789549,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wald, David J. 0000-0002-1454-4514 wald@usgs.gov","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":795,"corporation":false,"usgs":true,"family":"Wald","given":"David","email":"wald@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":789550,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70209475,"text":"70209475 - 2020 - Use of genetic mark-recapture to estimate breeding site fidelity and philopatry in a threatened sea duck population, Alaska-breeding Steller’s eiders","interactions":[],"lastModifiedDate":"2020-04-10T12:53:03.407673","indexId":"70209475","displayToPublicDate":"2020-04-09T07:19:26","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1497,"text":"Endangered Species Research","active":true,"publicationSubtype":{"id":10}},"title":"Use of genetic mark-recapture to estimate breeding site fidelity and philopatry in a threatened sea duck population, Alaska-breeding Steller’s eiders","docAbstract":"The Steller’s eider (Polysticta stelleri) is a sea duck that breeds in Arctic tundra regions of Russia and Alaska. The Alaska-breeding population is listed as threatened under the U.S. Endangered Species Act because of a perceived contraction of their breeding range in North America. Understanding demographic rates of the listed population is critical for determining and evaluating measures that can lead to an increase in abundance and thus, long-term viability. Specifically, estimates of return rates to breeding areas by adult females and natal areas by juvenile females are needed for planning effective recovery actions. We used a suite of polymorphic loci to genotype individuals and generated genetic profiles of nesting females and female offspring from nest materials collected from 1995 – 2016 in a ~170 km2 study area near Utqiaġvik, Alaska. We analyzed capture histories of genetically-identified individuals to estimate breeding site fidelity, temporary emigration, and natal site fidelity (philopatry). From a sample of 365 nests, we found that breeding site fidelity of adult females was high (0.91, SE 0.07) and temporary emigration also was high (0.77, SE 0.06) and variable across years (range 0.34 – 0.97). From egg shell remains of 124 hatched females, we observed nine recaptures as nesting adults, suggesting that philopatry was also high (range 0.6-1.0). Given the relatively high rates of adult female breeding site fidelity and female philopatry that we estimated, management actions that reduce mortality of adult females and increase annual productivity are likely to help maintain the population of a few hundred breeding Steller’s eiders on the Arctic Coastal Plain of Alaska.","language":"English","publisher":"Inter-Research","doi":"10.3354/esr01026","collaboration":"","usgsCitation":"Safine, D., Lindberg, M., Martin, K., Talbot, S.L., Swem, T., Pearce, J.M., Stellrecht, N., Sage, K., Riddle, A.E., Fales, K., and Hollmen, T.E., 2020, Use of genetic mark-recapture to estimate breeding site fidelity and philopatry in a threatened sea duck population, Alaska-breeding Steller’s eiders: Endangered Species Research, v. 41, p. 349-360 , https://doi.org/10.3354/esr01026.","productDescription":"12 p.","startPage":"349","endPage":"360 ","ipdsId":"IP-107992","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":457123,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/esr01026","text":"Publisher Index Page"},{"id":437029,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P967DZ5L","text":"USGS data release","linkHelpText":"Genetic Data From Nesting Steller's Eiders (Polysticta stelleri), Near Utqiagvik, Alaska, 1995-2016"},{"id":373887,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -156.588134765625,\n 70.66360693648447\n ],\n [\n -154.88525390625,\n 70.66360693648447\n ],\n [\n -154.27001953125,\n 71.32895017791999\n ],\n [\n -156.90673828125,\n 71.42717893107371\n ],\n [\n 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Service","active":true,"usgs":false}],"preferred":false,"id":786680,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Talbot, Sandra L. 0000-0002-3312-7214 stalbot@usgs.gov","orcid":"https://orcid.org/0000-0002-3312-7214","contributorId":140512,"corporation":false,"usgs":true,"family":"Talbot","given":"Sandra","email":"stalbot@usgs.gov","middleInitial":"L.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":786681,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Swem, Ted","contributorId":200583,"corporation":false,"usgs":false,"family":"Swem","given":"Ted","affiliations":[],"preferred":false,"id":786682,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pearce, John M. 0000-0002-8503-5485 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ksage@usgs.gov","orcid":"https://orcid.org/0000-0003-1431-2286","contributorId":139795,"corporation":false,"usgs":true,"family":"Sage","given":"Kevin","email":"ksage@usgs.gov","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":786685,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Riddle, Ann E.","contributorId":62042,"corporation":false,"usgs":false,"family":"Riddle","given":"Ann","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":786686,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Fales, Kyrstal","contributorId":223950,"corporation":false,"usgs":false,"family":"Fales","given":"Kyrstal","email":"","affiliations":[{"id":24583,"text":"former USGS employee","active":true,"usgs":false}],"preferred":false,"id":786687,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hollmen, Tuula E.","contributorId":211728,"corporation":false,"usgs":false,"family":"Hollmen","given":"Tuula","email":"","middleInitial":"E.","affiliations":[{"id":16211,"text":"Alaska SeaLife Center","active":true,"usgs":false}],"preferred":false,"id":786688,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70209600,"text":"70209600 - 2020 - Gap fill of Land surface temperature and reflectance products in Analysis Ready Data","interactions":[],"lastModifiedDate":"2020-04-15T11:45:58.03143","indexId":"70209600","displayToPublicDate":"2020-04-09T06:43:38","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Gap fill of Land surface temperature and reflectance products in Analysis Ready Data","docAbstract":"The recently released Landsat Analysis Ready Data (ARD) over the United States provides the opportunity to investigate landscape dynamics using dense time series observations at 30-m resolution. However, the dataset often contains data gaps (or missing data) because of cloud contamination or data acquisition strategy. We present a new algorithm that focuses on data gap filling using clear observations from orbit overlap regions. Multiple linear regression models were established for each pixel time series to estimate stable predictions and uncertainties. The model's training data came from stratified random samples based on the time series similarity between the pixel and data from the overlap regions. The algorithm was evaluated using four tiles (5,000 × 5,000 30-m pixels for each tile) from 2018 land surface temperature data (LST) in Atlanta, Georgia. The accuracy was assessed using 1,000 randomly masked pixels and daily air temperature from eight ground stations. Both assessments showed the r2 value above 0.75, except two stations with mixed Landsat pixels. We also compared our results with the eMODIS LST product in terms of annual mean temperature. The two maps showed a similar spatial pattern at the region level, but our results showed more spatial detail in the urban area that matched the pattern of impervious surface. We also applied the method on ARD surface reflectance bands at Fairbanks, Alaska, to illustrate its improvements in surface reflectance products and in land change modeling. This approach can also be applied to other datasets, vegetation indexes, or spectral reflectance bands of other sensors.","language":"English","publisher":"MDPI","doi":"10.3390/rs12071192","collaboration":"","usgsCitation":"Zhou, Q., Xian, G.Z., and Shi, H., 2020, Gap fill of Land surface temperature and reflectance products in Analysis Ready Data: Remote Sensing, v. 12, no. 7, 1192, 16 p., https://doi.org/10.3390/rs12071192.","productDescription":"1192, 16 p.","ipdsId":"IP-113228","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":457126,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs12071192","text":"Publisher Index Page"},{"id":374000,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"7","noUsgsAuthors":false,"publicationDate":"2020-04-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Zhou, Qiang 0000-0002-1282-8177","orcid":"https://orcid.org/0000-0002-1282-8177","contributorId":223103,"corporation":false,"usgs":true,"family":"Zhou","given":"Qiang","email":"","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":787086,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Xian, George Z. 0000-0001-5674-2204 xian@usgs.gov","orcid":"https://orcid.org/0000-0001-5674-2204","contributorId":2263,"corporation":false,"usgs":true,"family":"Xian","given":"George","email":"xian@usgs.gov","middleInitial":"Z.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":787087,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shi, Hua 0000-0001-7013-1565 hshi@usgs.gov","orcid":"https://orcid.org/0000-0001-7013-1565","contributorId":646,"corporation":false,"usgs":true,"family":"Shi","given":"Hua","email":"hshi@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":787088,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70208173,"text":"fs20203003 - 2020 - Assessment of tight-gas resources in the Grand Erg/Ahnet Province of Algeria, 2019","interactions":[],"lastModifiedDate":"2020-04-09T11:22:55.898495","indexId":"fs20203003","displayToPublicDate":"2020-04-08T12:30:00","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-3003","displayTitle":"Assessment of Tight-Gas Resources in the Grand Erg/Ahnet Province of Algeria, 2019","title":"Assessment of tight-gas resources in the Grand Erg/Ahnet Province of Algeria, 2019","docAbstract":"

Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean resources of 30.5 trillion cubic feet of tight gas in the Grand Erg/Ahnet Province of Algeria.

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Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046

","tableOfContents":"","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2020-04-08","noUsgsAuthors":false,"publicationDate":"2020-04-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Brownfield, Michael E. 0000-0003-3633-1138 mbrownfield@usgs.gov","orcid":"https://orcid.org/0000-0003-3633-1138","contributorId":1548,"corporation":false,"usgs":true,"family":"Brownfield","given":"Michael","email":"mbrownfield@usgs.gov","middleInitial":"E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":780802,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schenk, Christopher J. 0000-0002-0248-7305 schenk@usgs.gov","orcid":"https://orcid.org/0000-0002-0248-7305","contributorId":826,"corporation":false,"usgs":true,"family":"Schenk","given":"Christopher","email":"schenk@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":780801,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mercier, Tracey J. 0000-0002-8232-525X tmercier@usgs.gov","orcid":"https://orcid.org/0000-0002-8232-525X","contributorId":2847,"corporation":false,"usgs":true,"family":"Mercier","given":"Tracey","email":"tmercier@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":780803,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tennyson, Marilyn E. 0000-0002-5166-2421 tennyson@usgs.gov","orcid":"https://orcid.org/0000-0002-5166-2421","contributorId":176582,"corporation":false,"usgs":true,"family":"Tennyson","given":"Marilyn","email":"tennyson@usgs.gov","middleInitial":"E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":786381,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Woodall, Cheryl A. 0000-0002-4844-5768 cwoodall@usgs.gov","orcid":"https://orcid.org/0000-0002-4844-5768","contributorId":194924,"corporation":false,"usgs":true,"family":"Woodall","given":"Cheryl","email":"cwoodall@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":780805,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Finn, Thomas M. 0000-0001-6396-9351 finn@usgs.gov","orcid":"https://orcid.org/0000-0001-6396-9351","contributorId":778,"corporation":false,"usgs":true,"family":"Finn","given":"Thomas","email":"finn@usgs.gov","middleInitial":"M.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":780806,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Le, Phuong A. 0000-0003-2477-509X ple@usgs.gov","orcid":"https://orcid.org/0000-0003-2477-509X","contributorId":150418,"corporation":false,"usgs":true,"family":"Le","given":"Phuong","email":"ple@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":780807,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pitman, Janet K. 0000-0002-0441-779X jpitman@usgs.gov","orcid":"https://orcid.org/0000-0002-0441-779X","contributorId":767,"corporation":false,"usgs":true,"family":"Pitman","given":"Janet","email":"jpitman@usgs.gov","middleInitial":"K.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":780808,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Drake, Ronald M. II 0000-0002-1770-4667 rmdrake@usgs.gov","orcid":"https://orcid.org/0000-0002-1770-4667","contributorId":1353,"corporation":false,"usgs":true,"family":"Drake","given":"Ronald","suffix":"II","email":"rmdrake@usgs.gov","middleInitial":"M.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":786382,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Gaswirth, Stephanie B. 0000-0001-5821-6347 sgaswirth@usgs.gov","orcid":"https://orcid.org/0000-0001-5821-6347","contributorId":150417,"corporation":false,"usgs":true,"family":"Gaswirth","given":"Stephanie","email":"sgaswirth@usgs.gov","middleInitial":"B.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":780810,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Leathers-Miller, Heidi M. 0000-0001-5208-9906 hleathers@usgs.gov","orcid":"https://orcid.org/0000-0001-5208-9906","contributorId":150419,"corporation":false,"usgs":true,"family":"Leathers-Miller","given":"Heidi","email":"hleathers@usgs.gov","middleInitial":"M.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":780811,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70210624,"text":"70210624 - 2020 - Establishment of brown anoles (Anolis sagrei) across a southern California county and potential interactions with a native lizard species","interactions":[],"lastModifiedDate":"2022-10-31T14:03:32.868528","indexId":"70210624","displayToPublicDate":"2020-04-08T11:31:39","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3840,"text":"PeerJ","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Establishment of brown anoles (Anolis sagrei) across a southern California county and potential interactions with a native lizard species","title":"Establishment of brown anoles (Anolis sagrei) across a southern California county and potential interactions with a native lizard species","docAbstract":"

The brown anole, Anolis sagrei, is a native species to the Caribbean; however, A. sagrei has invaded multiple parts of the USA, including Florida, Louisiana, Hawai’i and more recently California. The biological impacts of A. sagrei invading California are currently unknown. Evidence from the invasion in Taiwan shows that they spread quickly and when immediate action is not taken eradication stops being a viable option. In Orange County, California, five urban sites, each less than 100 ha, were surveyed for an average of 49.2 min. Approximately 200 A. sagrei were seen and verified across all survey sites. The paucity of native lizards encountered during the surveys within these sites suggests little to no overlap between the dominant diurnal western fence lizard, Sceloporus occidentalis, and A. sagrei. This notable lack of overlap could indicate a potentially disturbing reality that A. sagrei are driving local extirpations of S. occidentalis.

","language":"English","publisher":"PeerJ","doi":"10.7717/peerj.8937","usgsCitation":"Fisher, S., Del Pinto, L.A., and Fisher, R.N., 2020, Establishment of brown anoles (Anolis sagrei) across a southern California county and potential interactions with a native lizard species: PeerJ, v. 8, e8937, 12 p., https://doi.org/10.7717/peerj.8937.","productDescription":"e8937, 12 p.","ipdsId":"IP-116801","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":457129,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7717/peerj.8937","text":"Publisher Index Page"},{"id":375556,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"Orange 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Center","active":true,"usgs":true}],"preferred":true,"id":790893,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70213050,"text":"70213050 - 2020 - Landslide disparities, flume discoveries, and Oso despair","interactions":[],"lastModifiedDate":"2020-09-09T13:34:21.549288","indexId":"70213050","displayToPublicDate":"2020-04-08T11:12:43","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":6484,"text":"Perspectives of Earth and Space Scientists","active":true,"publicationSubtype":{"id":10}},"title":"Landslide disparities, flume discoveries, and Oso despair","docAbstract":"

Landslide dynamics is the branch of science that seeks to understand the motion of landslides by applying Newton's laws. This memoir focusses on a 40‐year effort to understand motion of highly mobile—and highly lethal—landslides such as debris avalanches and debris flows. A major component of this work entailed development and operation of the U.S. Geological Survey debris flow flume, a unique, large‐scale experimental facility in Oregon. Experiments there yielded new insights that informed development of mathematical models that were aimed not only at explaining landslide dynamics but also at evaluating landslide and debris flow hazards. The most sophisticated of these models, called D‐Claw, found its first practical application during investigations of the 2014 Oso, Washington, landslide disaster. That event provided indelible lessons about the utility and sociology of science in the real world.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019CN000117","usgsCitation":"Iverson, R.M., 2020, Landslide disparities, flume discoveries, and Oso despair: Perspectives of Earth and Space Scientists, v. 1, no. 1, e2019CN000117, 12 p., https://doi.org/10.1029/2019CN000117.","productDescription":"e2019CN000117, 12 p.","ipdsId":"IP-111886","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":457131,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2019cn000117","text":"Publisher Index Page"},{"id":378201,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","city":"Oso","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.95304870605469,\n 48.25576986959547\n ],\n [\n -121.89262390136717,\n 48.25576986959547\n ],\n [\n -121.89262390136717,\n 48.28593438872724\n ],\n [\n -121.95304870605469,\n 48.28593438872724\n ],\n [\n -121.95304870605469,\n 48.25576986959547\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"1","issue":"1","noUsgsAuthors":false,"publicationDate":"2020-04-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Iverson, Richard M. 0000-0002-7369-3819 riverson@usgs.gov","orcid":"https://orcid.org/0000-0002-7369-3819","contributorId":536,"corporation":false,"usgs":true,"family":"Iverson","given":"Richard","email":"riverson@usgs.gov","middleInitial":"M.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":798078,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70214526,"text":"70214526 - 2020 - How processing methodologies can distort and bias power spectral density estimates of seismic background noise","interactions":[],"lastModifiedDate":"2020-10-01T14:48:49.869932","indexId":"70214526","displayToPublicDate":"2020-04-08T09:39:20","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"How processing methodologies can distort and bias power spectral density estimates of seismic background noise","docAbstract":"

Power spectral density (PSD) estimates are widely used in seismological studies to characterize background noise conditions, assess instrument performance, and study quasi‐stationary signals that are difficult to observe in the time domain. However, these studies often utilize different processing techniques, each of which can inherently bias the resulting PSD estimates. The level of smoothing, the size of the data window, and the method used for actually estimating the spectral content can all have strong influences on PSD estimates and background noise statistics. We show that although smoothing reduces the variance of the PSD estimate, the corresponding decrease in frequency resolution can eliminate or distort features of interest. For instance, popular software packages such as Incorporated Research Institutions for Seismology Modular Utility for STAatistical kNowledge Gathering (MUSTANG) and earlier versions of Portable Array Seismic Studies of the Continental Lithosphere Quick Look eXtended (PQLX), which were designed for data quality control and are effective in that regard, are less suitable for scientific studies that require accurate resolution of spectral peaks, even for peaks as broad as the primary (⁠∼14  s\">∼14  s period) and secondary (⁠∼7  s\">∼7  s period) microseisms. We also demonstrate how the 1 and 3 hr data windows used in MUSTANG and PQLX can be strongly influenced by energy generated from moderate‐size (⁠M>∼4.8\">M>∼4.8⁠) teleseismic earthquakes. The ubiquity of these events is likely skewing median ambient‐noise estimates by as much as 5 dB upward, for periods of 10–50 s at high‐quality broadband stations. Finally, we illustrate that many of the discrepancies between global low‐noise models are attributable to processing methodologies rather than fundamental differences in the underlying seismic data.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220190212","usgsCitation":"Anthony, R.E., Ringler, A.T., Wilson, D.C., Bahavar, M., and Koper, K.D., 2020, How processing methodologies can distort and bias power spectral density estimates of seismic background noise: Seismological Research Letters, v. 91, no. 3, p. 1694-1706, https://doi.org/10.1785/0220190212.","productDescription":"13 p.","startPage":"1694","endPage":"1706","ipdsId":"IP-112932","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":378908,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"91","issue":"3","noUsgsAuthors":false,"publicationDate":"2020-04-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Anthony, Robert 0000-0001-7089-8846 reanthony@usgs.gov","orcid":"https://orcid.org/0000-0001-7089-8846","contributorId":202829,"corporation":false,"usgs":true,"family":"Anthony","given":"Robert","email":"reanthony@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":799812,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ringler, Adam T. 0000-0002-9839-4188 aringler@usgs.gov","orcid":"https://orcid.org/0000-0002-9839-4188","contributorId":145576,"corporation":false,"usgs":true,"family":"Ringler","given":"Adam","email":"aringler@usgs.gov","middleInitial":"T.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":799813,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilson, David C. 0000-0003-2582-5159 dwilson@usgs.gov","orcid":"https://orcid.org/0000-0003-2582-5159","contributorId":145580,"corporation":false,"usgs":true,"family":"Wilson","given":"David","email":"dwilson@usgs.gov","middleInitial":"C.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":799814,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bahavar, Manochehr","contributorId":241646,"corporation":false,"usgs":false,"family":"Bahavar","given":"Manochehr","email":"","affiliations":[{"id":48379,"text":"Incorporated Research Institutions for Seismology, Data Management Center","active":true,"usgs":false}],"preferred":false,"id":799815,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Koper, Keith D.","contributorId":175489,"corporation":false,"usgs":false,"family":"Koper","given":"Keith","email":"","middleInitial":"D.","affiliations":[{"id":27579,"text":"Swiss Federal Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":799816,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70213345,"text":"70213345 - 2020 - Earthquake early warning ShakeAlert 2.0: Public rollout","interactions":[],"lastModifiedDate":"2020-09-17T14:36:17.949095","indexId":"70213345","displayToPublicDate":"2020-04-08T09:25:18","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Earthquake early warning ShakeAlert 2.0: Public rollout","docAbstract":"The ShakeAlert Earthquake Early Warning System is designed to automatically identify and characterize the initiation and rupture evolution of large earthquakes, estimate the intensity of ground shaking that will result, and deliver alerts to people and systems that may experience shaking, prior to the occurrence of shaking at their location. It is configured to issue alerts to locations within the West Coast of the U.S. In 2018, ShakeAlert 2.0 went live in a regional public test in the first phase of a general public rollout. The ShakeAlert system is now providing alerts to over sixty institutional partners in the three states of the Western U.S. where most of the nation’s earthquake risk is concentrated: California, Oregon, and Washington. The ShakeAlert 2.0 product for public alerting is a message containing a polygon enclosing a region predicted to experience Modified Mercalli Intensity ≥ IV for an earthquake of M5.0 or larger, corresponding to moderate-to-strong ground shaking. A polygon format alert is the easiest description for selective re-broadcasting mechanisms (e.g. cell towers) and is a requirement for some mass notification systems such as the Federal Emergency Management Agency’s Integrated Public Alert and Warning System. ShakeAlert 2.0 is tested using historic waveform data consisting of 60 M3.5+ and 25 M5.0+ earthquakes, in addition to other anomalous waveforms. For the historic event test, the average M5+ false alert rate/missed event rate for ShakeAlert 2.0 is 8%/16%, and the M3.5+ false alert rate/missed event rate is 10%/36.7%. Real-time performance metrics are also presented to assess how the system behaves in regions that are well-instrumented, sparsely instrumented, and offshore.","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220190245","usgsCitation":"Kohler, M., Smith, D.E., Andrews, J., Chung, A.I., Hartog, R., Henson, I., Given, D.D., deGroot, R.M., and Guiwits, S., 2020, Earthquake early warning ShakeAlert 2.0: Public rollout: Seismological Research Letters, v. 91, no. 3, p. 1763-1775, https://doi.org/10.1785/0220190245.","productDescription":"13 p.","startPage":"1763","endPage":"1775","ipdsId":"IP-114869","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":457135,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://resolver.caltech.edu/CaltechAUTHORS:20200506-122500671","text":"External Repository"},{"id":378501,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"British Columbia, California, Oregon, Washinton","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.42187500000001,\n 32.54681317351514\n ],\n [\n -114.2578125,\n 32.69486597787505\n ],\n [\n -114.08203125,\n 34.66935854524543\n ],\n [\n -120.234375,\n 39.16414104768742\n ],\n [\n -120.14648437499999,\n 41.902277040963696\n ],\n [\n -117.0703125,\n 41.96765920367816\n ],\n [\n -116.806640625,\n 45.767522962149876\n ],\n [\n -117.42187500000001,\n 49.15296965617042\n ],\n [\n -117.68554687499999,\n 50.792047064406866\n ],\n [\n -129.0234375,\n 51.17934297928927\n ],\n [\n -124.892578125,\n 47.754097979680026\n ],\n [\n -126.03515625,\n 40.58058466412761\n ],\n [\n 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Concentrations in Domestic Wells and Proximity to Roadways in Vermont, 2011–2018","title":"Groundwater chloride concentrations in domestic wells and proximity to roadways in Vermont, 2011–2018","docAbstract":"

The Vermont Department of Health and the U.S. Geological Survey analyzed the concentrations of chloride in groundwater samples collected from 4,319 domestic wells across Vermont between 2011 and 2018. Ninety of these wells were sampled twice and the remaining 4,229 were sampled once. This sample size represents approximately 4 percent of all wells in the State of Vermont. More than half of the wells sampled statewide had groundwater chloride concentrations less than 5 milligrams per liter, whereas more than 1 percent had groundwater concentrations greater than 250 milligrams per liter. Statistical analysis of this dataset revealed distinct patterns in the distribution of chloride in domestic wells. Wells closer (less than 100 meters) to a paved road had significantly higher concentrations of chloride than wells farther ( more than 100 meters) away. Also, wells in urban and in high population density areas, particularly Chittenden and Grand Isle Counties, had significantly higher concentrations of chloride and exhibited greater change in concentrations of chloride over time than wells in less populated areas. This evaluation addresses the distribution of chloride concentrations across the State, which may have adverse health impacts from water infrastructure corrosion and implications for deicing salt application at the State and local levels.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191148","collaboration":"Prepared in cooperation with the Vermont Department of Health","usgsCitation":"Levitt, J.P., and Larsen, S.L., 2020, Groundwater chloride concentrations in domestic wells and proximity to roadways in Vermont, 2011–2018: U.S. Geological Survey Open-File Report 2019–1148, 12 p., https://doi.org/10.3133/ofr20191148.","productDescription":"Report: 12 p.; Data Release","numberOfPages":"12","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-104230","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":373835,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1148/ofr20191148.pdf","text":"Report","size":"77.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019-1148"},{"id":373355,"rank":3,"type":{"id":30,"text":"Data 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\"}}]}","contact":"

Director, New England Water Science Center
U.S. Geological Survey
10 Bearfoot Road
Northborough, MA 01532

","tableOfContents":"","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2020-04-08","noUsgsAuthors":false,"publicationDate":"2020-04-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Levitt, Joseph P. 0000-0002-2058-9516 jlevitt@usgs.gov","orcid":"https://orcid.org/0000-0002-2058-9516","contributorId":198353,"corporation":false,"usgs":false,"family":"Levitt","given":"Joseph","email":"jlevitt@usgs.gov","middleInitial":"P.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":781681,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Larsen, Sille L. 0000-0001-9356-4726","orcid":"https://orcid.org/0000-0001-9356-4726","contributorId":218798,"corporation":false,"usgs":false,"family":"Larsen","given":"Sille","email":"","middleInitial":"L.","affiliations":[{"id":39914,"text":"Vermont Department of Health","active":true,"usgs":false}],"preferred":false,"id":781682,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}